Hacker Newsnew | past | comments | ask | show | jobs | submit | microtonal's favoriteslogin

Prefixing commands solves the namespace problem and discoverability (at least partly). I use a slightly more sophisticated method, which helps me remember which custom utilities are available and how to use them: sd [1], a light wrapper written for zsh that, in addition to namespaces, provides autocompletion, custom help texts + some other QoL enhancements. Can definitely recommend if you're looking for something a bit more fancy.

[1] https://github.com/ianthehenry/sd


I LOVE Sonic Robo Blast 2. Please also check out the amazing kart racer spinoff, SRB2Kart! It is one of my favorite kart racers.

https://hyuu.cc/

https://wiki.srb2.org/wiki/SRB2Kart


For those with more time than money, you can build an open-source Advantage 360 clone for around $100 USD:

- https://github.com/wizarddata/Ergo-S-1

I'm not the creator, but I do have a repo with a purchase list that shows what stuff to buy from AliExpress:

- https://github.com/arcanemachine/Ergo-S-1-Extras

It takes about 10 hours to put together. You'll also need some nerd tools: access to a 3D printer, soldering iron, etc.


The Git plugin is great for single-device backup IMO, but not great for device sync or collaboration.

I've been working on making Obsidian "work for work" with a real-time collaboration plugin called Relay [0]. We use CRDTs for conflict resolution between users/clients and it also happens to remove a ton of headaches for device-to-device sync as well.

Our collaboration server can be run on-premise and we also just open sourced a Git Sync connector so you can do google-docs style collab via Obsidian+Relay but still have the merged documents end up in git (and plug into (Markdown + git)-centric publishing workflows like Mintlify and Quartz.

The whole Obsidian ecosystem feels really electric right now.

[0] https://relay.md


This is fantastic work. The focus on a local, sandboxed execution layer is a huge piece of the puzzle for a private AI workspace. The `coderunner` tool looks incredibly useful.

A complementary challenge is the knowledge layer: making the AI aware of your personal data (emails, notes, files) via RAG. As soon as you try this on a large scale, storage becomes a massive bottleneck. A vector database for years of emails can easily exceed 50GB.

(Full disclosure: I'm part of the team at Berkeley that tackled this). We built LEANN, a vector index that cuts storage by ~97% by not storing the embeddings at all. It makes indexing your entire digital life locally actually feasible.

Combining a local execution engine like this with a hyper-efficient knowledge index like LEANN feels like the real path to a true "local Jarvis."

Code: https://github.com/yichuan-w/LEANN Paper: https://arxiv.org/abs/2405.08051


Bill Dally from nvidia introduced a log representation that basically allows to replace a multiplication with an add, without loss of accuracy (in contract to proposal above)

https://youtu.be/gofI47kfD28?t=2248


"Never go to sea with two chronometers; take one or three."

- adage cited in the Mythical Man Month


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: